Biological data science II : machine learning
BIO-322
This file is part of the content downloaded from Biological data science II : machine learning.
Welcome to the course BIO-322 "Introduction to Machine Learning"!
- Interactive website (URL)
- Link to textbook "An Introduction to Statistical Learning" (URL)
- Lecture Recordings (URL)
Week 1
Week 2
Week 3
Added explanations for sampling from conditional data generating process (notes to slide 5), and an extra slide on the Cross-Entropy Loss (slide 7). Note: in the lecture, I forgot the sign of the (cross-)entropy.
Week 4
Week 5
- Slides: Model Assessment, Hyperparameter Tuning, Feature Engineering (File)
- Exercise Solutions (URL)
Week 6
Week 7
Week 8
Week 9
Miniproject
- Miniproject Instructions (File)
- Miniproject Teams (Questionnaire)
- Dataset Presentation (File)
- Example notebook from a previous project (File)
Week 10
Week 11
Week 12
Week 13
For those who are interested in learning about Reinforcement Learning: here are slides from a previous year. This content is optional.
Exam Preparation
Here is an old exam. Its content is not representative, because some of the questions are on topics you did not learn in this class. However, the style of the exam will be similar.
There are also 16 additional quiz questions for you to prepare for the exam (solutions on the last page).
Good luck for the exam preparation!